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Parallel Processing and Applied Mathematics

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Cover of 'Parallel Processing and Applied Mathematics'

Table of Contents

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    Book Overview
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    Chapter 1 Exploring Memory Error Vulnerability for Parallel Programming Models
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    Chapter 2 An Approach for Ensuring Reliable Functioning of a Supercomputer Based on a Formal Model
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    Chapter 3 Sparse Matrix Multiplication on Dataflow Engines
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    Chapter 4 Energy Efficient Calculations of Text Similarity Measure on FPGA-Accelerated Computing Platforms
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    Chapter 5 A Bucket Sort Algorithm for the Particle-In-Cell Method on Manycore Architectures
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    Chapter 6 Experience on Vectorizing Lattice Boltzmann Kernels for Multi- and Many-Core Architectures
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    Chapter 7 Performance Analysis of the Kahan-Enhanced Scalar Product on Current Multicore Processors
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    Chapter 8 Performance Analysis of the Chebyshev Basis Conjugate Gradient Method on the K Computer
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    Chapter 9 Dense Symmetric Indefinite Factorization on GPU Accelerated Architectures
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    Chapter 10 A Parallel Multi-threaded Solver for Symmetric Positive Definite Bordered-Band Linear Systems
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    Chapter 11 Parallel Algorithm for Quasi-Band Matrix-Matrix Multiplication
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    Chapter 12 Comparative Performance Analysis of Coarse Solvers for Algebraic Multigrid on Multicore and Manycore Architectures
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    Chapter 13 LU Preconditioning for Overdetermined Sparse Least Squares Problems
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    Chapter 14 Experimental Optimization of Parallel 3D Overlapping Domain Decomposition Schemes
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    Chapter 15 Parallel Implementation of the FETI DDM Constraint Matrix on Top of PETSc for the PermonFLLOP Package
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    Chapter 16 Accelerating Sparse Arithmetic in the Context of Newton’s Method for Small Molecules with Bond Constraints
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    Chapter 17 Massively Parallel Approach to Sensitivity Analysis on HPC Architectures by Using Scalarm Platform
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    Chapter 18 GPU Implementation of Krylov Solvers for Block-Tridiagonal Eigenvalue Problems
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    Chapter 19 Comparison of Large Graphs Using Distance Information
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    Chapter 20 Fast Incremental Community Detection on Dynamic Graphs
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    Chapter 21 A Diffusion Process for Graph Partitioning: Its Solutions and Their Improvement
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    Chapter 22 A Parallel Algorithm for LZW Decompression, with GPU Implementation
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    Chapter 23 Parallel FDFM Approach for Computing GCDs Using the FPGA
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    Chapter 24 Parallel Induction of Nondeterministic Finite Automata
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    Chapter 25 Parallel BSO Algorithm for Association Rules Mining Using Master/Worker Paradigm
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    Chapter 26 Distributed Computing Instrastructure as a Tool for e-Science
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    Chapter 27 A Lightweight Approach for Deployment of Scientific Workflows in Cloud Infrastructures
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    Chapter 28 Distributed Execution of Dynamically Defined Tasks on Microsoft Azure
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    Chapter 29 Scalable Distributed Two-Layer Block Based Datastore
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    Chapter 30 Metadata Organization and Management for Globalization of Data Access with Onedata
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    Chapter 31 Hypergraph Based Abstraction for File-Less Data Management
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    Chapter 32 Using Akka Actors for Managing Iterations in Multiscale Applications
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    Chapter 33 Synthetic Signature Program for Performance Scalability
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    Chapter 34 FEniCS-HPC: Automated Predictive High-Performance Finite Element Computing with Applications in Aerodynamics
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    Chapter 35 Accelerating NWChem Coupled Cluster Through Dataflow-Based Execution
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    Chapter 36 Parallelization and Optimization of a CAD Model Processing Tool from the Automotive Industry to Distributed Memory Parallel Computers
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    Chapter 37 GPU Accelerated Simulations of Magnetic Resonance Imaging of Vascular Structures
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    Chapter 38 Parallel Algorithms for Wireless LAN Planning
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    Chapter 39 Toward Parallel Modeling of Solidification Based on the Generalized Finite Difference Method Using Intel Xeon Phi
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    Chapter 40 Optimized Parallel Model of Human Detection Based on the Multi-Scale Covariance Descriptor
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    Chapter 41 Parallel Extremal Optimization with Guided Search and Crossover Applied to Load Balancing
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    Chapter 42 Parallel Differential Evolution in the PGAS Programming Model Implemented with PCJ Java Library
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    Chapter 43 Adaptation of Deep Belief Networks to Modern Multicore Architectures
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    Chapter 44 Implementing Deep Learning Algorithms on Graphics Processor Units
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    Chapter 45 Fuzzy Transducers as a Tool for Translating Noisy Data in Electrical Load Forecast System
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    Chapter 46 Towards a Scalable Distributed Fitness Evaluation Service
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    Chapter 47 Revisiting the Gauss-Huard Algorithm for the Solution of Linear Systems on Graphics Accelerators
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    Chapter 48 Increasing Arithmetic Intensity in Multigrid Methods on GPUs Using Block Smoothers
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    Chapter 49 Optimized CUDA-Based PDE Solver for Reaction Diffusion Systems on Arbitrary Surfaces
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    Chapter 50 Comparing Different Programming Approaches for SpMV-Operations on GPUs
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    Chapter 51 IVM-Based Work Stealing for Parallel Branch-and-Bound on GPU
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    Chapter 52 Massively Parallel Construction of the Cell Graph
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    Chapter 53 Benchmarking the Cost of Thread Divergence in CUDA
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    Chapter 54 Fast Algorithm for the Fourth-Order Elliptic Problem Based on Orthogonal Matrix Decomposition
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    Chapter 55 Performance of the Parallel One-Sided Block Jacobi SVD Algorithm on a Modern Distributed-Memory Parallel Computer
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    Chapter 56 New Approach to Local Computations in the Parallel One–Sided Jacobi SVD Algorithm
Attention for Chapter 40: Optimized Parallel Model of Human Detection Based on the Multi-Scale Covariance Descriptor
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Chapter title
Optimized Parallel Model of Human Detection Based on the Multi-Scale Covariance Descriptor
Chapter number 40
Book title
Parallel Processing and Applied Mathematics
Published in
Lecture notes in computer science, April 2016
DOI 10.1007/978-3-319-32149-3_40
Book ISBNs
978-3-31-932148-6, 978-3-31-932149-3
Authors

Nesrine Abid, Tarek Ouni, Kais Loukil, A. Chiheb Ammari, Mohamed Abid

Editors

Roman Wyrzykowski, Ewa Deelman, Jack Dongarra, Konrad Karczewski, Jacek Kitowski, Kazimierz Wiatr